Image to data (Anthropic)

Overview

This is an example of how to extract structured data from an image using Instructor. The image is loaded from a file and converted to base64 format before sending it to OpenAI API.

The response model is a PHP class that represents the structured receipt information with data of vendor, items, subtotal, tax, tip, and total.

Scanned image

Here’s the image we’re going to extract data from.

Example

<?php
require 'examples/boot.php';

use Cognesy\Addons\Image\Image;
use Cognesy\Instructor\StructuredOutput;
use Cognesy\Polyglot\Inference\Enums\OutputMode;

class Vendor {
    public ?string $name = '';
    public ?string $address = '';
    public ?string $phone = '';
}

class ReceiptItem {
    public string $name;
    public ?int $quantity = 1;
    public float $price;
}

class Receipt {
    public Vendor $vendor;
    /** @var ReceiptItem[] */
    public array $items = [];
    public ?float $subtotal;
    public ?float $tax;
    public ?float $tip;
    public float $total;
}

$receipt = (new StructuredOutput)->using('anthropic')->with(
    messages: Image::fromFile(__DIR__ . '/receipt.png')->toMessage(),
    responseModel: Receipt::class,
    prompt: 'Extract structured data from the receipt. Return result as JSON following this schema: <|json_schema|>',
    model: 'claude-3-5-sonnet-20240620',
    mode: OutputMode::Json,
    options: ['max_tokens' => 4096]
)->get();

dump($receipt);

assert($receipt->total === 169.82);
?>